一种大型电力系统的智能安全筛选方法

Chun-ling Yang, S. Fukui, Y. Kataoka
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引用次数: 5

摘要

提出了一种大规模电力系统动态安全评估(DSA)的智能安全筛选算法。该方法的主要特点是利用时域仿真结果进行偶然性筛选,可以对详细的机器模型进行处理,得到可靠的结果。此外,由于所提出的筛选算法对不同的筛选步骤采用了不同的稳定性分析方法,因此它结合了所有方法的优点,克服了仅使用其中一种方法的缺点。由于在分析的早期阶段过滤掉了大部分稳定和不稳定的偶然性,因此可以显著减少计算时间。筛选算法也很容易集成到现有的时域仿真程序中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A smart security screening approach for large scale power systems
This paper presents a smart security screening algorithm for dynamic security assessment (DSA) for large scale power systems. The main features of the method are that contingency screening is conducted by using the time domain simulation results, and detailed machine models may be handled with reliable results obtained. Moreover, as the proposed screening algorithm uses a different stability analysis method for different screening step, it combines the strength of all the methods and overcomes the shortcomings in the case of only using one of them. Since largely stable and unstable contingencies are filtered out at early steps in the analysis, the computation time can be reduced significantly. Also the screening algorithm is easily integrated into the existing time domain simulation program.
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